
# Awesome AI Apps [](https://awesome.re)
This repository is a comprehensive collection of **80+ practical examples, tutorials, and recipes** for building powerful LLM-powered applications โ including text agents, voice assistants, RAG apps, and MCP-backed tools. These projects serve as a guide for developers working with various AI frameworks and stacks.
## ๐ Table of Contents
- [๐ Courses](#-courses)
- [๐ Featured AI Apps](#-featured-ai-apps)
- [๐งฉ Starter Agents](#-starter-agents)
- [๐ชถ Simple Agents](#-simple-agents)
- [๐๏ธ Voice Agents](#-voice-agents)
- [๐๏ธ MCP Agents](#๏ธ-mcp-agents)
- [๐ง Memory Agents](#-memory-agents)
- [๐ RAG Applications](#-rag-applications)
- [๐ฌ Advanced Agents](#-advanced-agents)
- [๐บ Tutorials & Videos](#-tutorials--videos)
- [๐ Getting Started](#getting-started)
- [๐ค Contributing](#-contributing)
---
---
## ๐ Courses
### AWS Strands Course for Beginners
**Comprehensive hands-on course on building AI agents with AWS Strands SDK:**
- [**AWS Strands Course**](course/aws_strands) - Complete 8-lesson course covering agent fundamentals to production patterns
- **Foundation**: Basic agents, session management, structured output
- **Integration**: MCP agents, human-in-the-loop patterns
- **Multi-Agent**: Orchestrator agents, swarm intelligence, graph workflows
- **Production**: Observability, safety guardrails, and best practices
## ๐ Featured AI Apps
### ๐งฉ Starter Agents
**Quick-start agents for learning and extending different AI frameworks.** _19 projects_
- [Agno HackerNews Analysis](starter_ai_agents/agno_starter) - Agno-based agent for trend analysis on HackerNews
- [OpenAI SDK Starter](starter_ai_agents/openai_agents_sdk) - OpenAI Agents SDK with email helper & haiku writer examples
- [LlamaIndex Task Manager](starter_ai_agents/llamaindex_starter) - LlamaIndex-powered task assistant
- [CrewAI Research Crew](starter_ai_agents/crewai_starter) - Multi-agent research team example
- [Letta Starter](starter_ai_agents/letta_starter) - Stateful agent with persistent long-term memory across sessions
- [PydanticAI Weather Bot](starter_ai_agents/pydantic_starter) - Real-time weather information agent
- [LangChain Starter](starter_ai_agents/langchain_starter) - LangChain tool-calling agent with `create_tool_calling_agent` + `AgentExecutor`, powered by Nebius
- [LangGraph Starter](starter_ai_agents/langgraph_starter) - LangGraph prebuilt ReAct agent (`create_react_agent`) with custom tools, powered by Nebius
- [AWS Strands Agent Starter](starter_ai_agents/aws_strands_starter) - Weather report agent using AWS Strands SDK
- [Mastra Starter](starter_ai_agents/mastra_starter) - TypeScript-first agent with a custom tool powered by Nebius Token Factory
- [Camel AI Starter](starter_ai_agents/camel_ai_starter) - Performance benchmarking tool comparing various AI models
- [DSPy Starter](starter_ai_agents/dspy_starter) - DSPy framework for building and optimizing AI systems
- [Google ADK Starter](starter_ai_agents/google_adk_starter) - Google Agent Development Kit starter template
- [Semantic Kernel Starter](starter_ai_agents/semantic_kernel_starter) - Microsoft Semantic Kernel `ChatCompletionAgent` with plugin-based tool calling
- [smolagents Starter](starter_ai_agents/smolagents_starter) - Hugging Face smolagents code-first web-search agent
- [AutoGen Starter](starter_ai_agents/autogen_starter) - Microsoft AutoGen `AssistantAgent` with a custom tool, powered by Nebius Token Factory
- [cagent Starter](starter_ai_agents/cagent_starter) - Open-source customizable multi-agent runtime by Docker
- [Sayna Voice Agent](starter_ai_agents/sayna_starter) - Real-time voice infrastructure with multi-provider STT/TTS (Deepgram, ElevenLabs, Azure, Google) and WebSocket streaming
- [KAOS Starter](starter_ai_agents/kaos_starter) - Kubernetes-native multi-agent system with MCP tools and in-cluster LLM
### ๐ชถ Simple Agents
**Straightforward, practical use-cases for everyday AI applications.** _14 projects_
- [Agno AI Examples](simple_ai_agents/agno_ai_examples) - Simple to multi-agent examples with web search & knowledge base
- [Finance Agent](simple_ai_agents/finance_agent) - Real-time stock & market data tracking agent
- [Human-in-the-Loop Agent](simple_ai_agents/human_in_the_loop_agent) - HITL actions for safe AI task execution
- [Newsletter Generator](simple_ai_agents/newsletter_agent) - AI-powered newsletter builder with Firecrawl integration
- [Reasoning Agent](simple_ai_agents/reasoning_agent) - Step-by-step financial reasoning demonstration
- [Agno UI Example](simple_ai_agents/agno_ui_agent) - Interactive UI for web & finance agents
- [Mastra Weather Bot](simple_ai_agents/mastra_ai_weather_agent) - Weather updates using Mastra AI framework
- [Calendar Assistant](simple_ai_agents/cal_scheduling_agent) - Calendar scheduling integration with Cal.com
- [Smart Scheduler Assistant](simple_ai_agents/email_to_calendar_scheduler) - AI-powered Gmail reader and Google Calendar manager
- [Web Automation Agent](simple_ai_agents/browser_agent) - Browser automation agent using Nebius & browser-use
- [Nebius Chat](simple_ai_agents/nebius_chat) - Chat interface for Nebius Token Factory
- [RouteLLM Chat](simple_ai_agents/llm_router) - Intelligent model routing with RouteLLM (GPT-4o-mini vs Nebius Llama) for cost optimization
- [Talk to Your DB](simple_ai_agents/talk_to_db) - Natural language database queries with GibsonAI & LangChain
- [Agent Discovery Agent](simple_ai_agents/agent_discovery_agent) - Find and compare AI agents across NANDA, MCP, Virtuals, A2A, and ERC-8004 registries
### ๐๏ธ Voice Agents
**Real-time voice assistants and streaming speech pipelines.** _6 projects_
- [Healthcare Voice Contact Center](voice_agents/healthcare_contact_center) - Pipecat healthcare contact center with appointment booking, FAQ handling, and supervisor escalation
- [LiveKit + Gemini Realtime](voice_agents/livekit_gemini_agents) - LiveKit Agents with Google Gemini Live (`gemini` multimodal realtime) for low-latency voice conversations in a LiveKit room
- [LiveKit Voice Agent with Web Search](voice_agents/livekit_web_search_agent) - LiveKit + Gemini realtime voice agent with an Olostep-backed `web_search` tool for fresh, source-cited answers
- [LiveKit RSVP Confirmation Agent](voice_agents/livekit_rsvp_agent) - Outbound voice agent that calls attendees, confirms RSVPs, and updates a JSON-backed event database
- [Pipecat + Sarvam](voice_agents/pipecat_agent) - Pipecat voice pipeline with Sarvam STT/TTS and OpenAI for chat; WebRTC (browser) or Daily transport via the Pipecat runner
- [Speed-to-Lead Voice Agent](voice_agents/speed_to_lead_agent) - LiveKit-based voice agent that calls inbound leads instantly, routes them to specialists, and logs to a mock CRM
### ๐๏ธ MCP Agents
**Examples using Model Context Protocol for external tool integration.** _13 projects_
- [Doc-MCP](mcp_ai_agents/doc_mcp) - Semantic RAG documentation & Q&A system
- [LangGraph MCP Agent](mcp_ai_agents/langchain_langgraph_mcp_agent) - LangChain ReAct agent with Couchbase integration
- [GitHub MCP Agent](mcp_ai_agents/github_mcp_agent) - Repository insights and analysis via MCP
- [MCP Starter](mcp_ai_agents/mcp_starter) - GitHub repository analyzer starter template
- [Talk to your Docs](mcp_ai_agents/docs_qna_agent) - Documentation Q&A agent with MCP
- [Database MCP Agent](mcp_ai_agents/database_mcp_agent) - Conversational AI agent for managing GibsonAI database projects and schemas
- [Hotel Finder Agent](mcp_ai_agents/hotel_finder_agent) - Hotel search and booking using MCP integration
- [Custom MCP Server](mcp_ai_agents/custom_mcp_server) - Custom MCP server implementation example
- [Couchbase MCP Server](mcp_ai_agents/couchbase_mcp_server) - Couchbase database integration with MCP protocol
- [ScaleKit Exa MCP Security](mcp_ai_agents/scalekit-exa-mcp-security) - Security-focused MCP integration with Exa search
- [Docker E2B MCP Agent](mcp_ai_agents/e2b_docker_mcp_agent) - Secure AI agent for running agents in sandboxed Docker environments via MCP Gateway
- [Taskade MCP Agent](mcp_ai_agents/taskade_mcp_agent) - AI-powered workspace agent for managing projects, tasks, and workflows via Taskade MCP
- [Telemetry MCP Okahu](mcp_ai_agents/telemetry-mcp-okahu) - Self-healing Text-to-SQL demo using Okahu Cloud traces via hosted MCP
### ๐ง Memory Agents
**Agents with advanced memory capabilities for context retention and personalization.** _12 projects_
- [Agno Memory Agent](memory_agents/agno_memory_agent) - Agno-based agent with persistent memory capabilities
- [arXiv Researcher Agent with Memori](memory_agents/arxiv_researcher_agent_with_memori) - Research assistant using OpenAI Agents and GibsonAI Memori
- [AWS Strands Agent with Memori](memory_agents/aws_strands_agent_with_memori) - AWS Strands agent enhanced with Memori memory system
- [Blog Writing Agent](memory_agents/blog_writing_agent) - Personalized blog writing agent with memory for style consistency
- [Social Media Agent](memory_agents/social_media_agent) - Social media automation agent with memory for brand voice
- [Job Search Agent](memory_agents/job_search_agent) - Job search agent with memory for preference tracking
- [Brand Reputation Monitor](memory_agents/brand_reputation_monitor) - AI-powered brand reputation monitoring with news analysis and sentiment tracking
- [Product Launch Agent](memory_agents/product_launch_agent) - Competitive intelligence tool for analyzing competitor product launches
- [AI Consultant Agent](memory_agents/ai_consultant_agent/) - AI-powered consulting agent using **Memori v3** as long-term memory fabric and **ExaAI** for research
- [Customer Support Voice Agent](memory_agents/customer_support_voice_agent) - Voice-enabled customer support assistant with Memori v3 and Firecrawl for knowledge base management
- [YouTube Trend Agent](memory_agents/youtube_trend_agent) - YouTube channel analysis agent with Memori, Agno, and Exa for trend analysis and video ideas
- [Study Coach Agent](memory_agents/study_coach_agent) - AI-powered study coach with Memori v3 and LangGraph for multi-step verification of understanding
### ๐ RAG Applications
**Retrieve-augmented generation examples for document understanding and knowledge bases.** _12 projects_
- [Agentic RAG](rag_apps/agentic_rag) - Agentic RAG implementation with Agno & GPT-5
- [Agentic RAG with Web Search](rag_apps/agentic_rag_with_web_search) - Advanced RAG with CrewAI, Qdrant, and Exa for hybrid search capabilities
- [Resume Optimizer](rag_apps/resume_optimizer) - AI-powered resume optimization and enhancement tool
- [LlamaIndex RAG Starter](rag_apps/llamaIndex_starter) - LlamaIndex + Nebius RAG starter template
- [PDF RAG Analyzer](rag_apps/pdf_rag_analyser) - Multi-PDF chat and analysis system
- [Qwen3 RAG Chat](rag_apps/qwen3_rag) - PDF chatbot interface built with Streamlit
- [Chat with Code](rag_apps/chat_with_code) - Conversational code explorer and documentation assistant
- [Gemma3 OCR](rag_apps/gemma_ocr/) - OCR-based document and image processor using Gemma3 model
- [Nvidia Nemotron OCR](rag_apps/nvidia_ocr/) - OCR-based document and image parsing using Nvidia Nemotron-Nano-V2-12b
- [Contextual AI RAG](rag_apps/contextual_ai_rag) - Enterprise-level RAG with managed datastores and quality evaluation
- [Advanced RAG with Reranking](rag_apps/advanced_rag_with_reranking) - Production-shaped PDF RAG with contextual retrieval, Qdrant hybrid search, reranking, streaming answers, upload ingestion, and clickable citations
- [Simple RAG](rag_apps/simple_rag) - Basic RAG implementation with Nebius for quick starts
- [WFGY 16 Problem Map LLM Debugger](rag_apps/wfgy_llm_debugger) - 16-mode map based debugger for LLM and RAG bugs
### ๐ฌ Advanced Agents
**Complex multi-agent pipelines for production-ready end-to-end workflows.** _18 projects_
- [Nebius AutoResearch](advance_ai_agents/nebius-autoresearch-autoresearch-mar30) - NYC taxi analytics pipeline optimizer; iterative code search with Nebius Token Factory (real-time or batch inference)
- [AgentField Financial Research Agent](advance_ai_agents/agentfield_finance_research_agent) - Financial Research Agent with AgentField
- [Due Diligence Agent](advance_ai_agents/due_diligence_agent) - Multi-agent company due diligence pipeline with AG2 and TinyFish deep web scraping
- [Deep Researcher](advance_ai_agents/deep_researcher_agent) - Multi-stage research agent with Agno & ScrapeGraph AI
- [Candilyzer](advance_ai_agents/candidate_analyser) - Candidate analysis tool for GitHub/LinkedIn profiles
- [Job Finder](advance_ai_agents/job_finder_agent) - LinkedIn job search automation with Bright Data integration
- [AI Trend Analyzer](advance_ai_agents/trend_analyzer_agent) - AI trend mining and analysis with Google ADK
- [Conference Talk Generator](advance_ai_agents/conference_talk_abstract_generator) - Automated talk abstract generation with Google ADK & Couchbase
- [Finance Service Agent](advance_ai_agents/finance_service_agent) - FastAPI server for stock data and predictions with Agno
- [Price Monitoring Agent](advance_ai_agents/price_monitoring_agent) - Price monitoring and alerting agent powered by CrewAI, Twilio & Nebius
- [Startup Idea Validator Agent](advance_ai_agents/startup_idea_validator_agent) - Agentic workflow to validate and analyze startup ideas
- [Meeting Assistant Agent](advance_ai_agents/meeting_assistant_agent) - Automated meeting notes and task creation from conversations
- [AI Hedgefund](advance_ai_agents/ai-hedgefund) - Agentic workflow for comprehensive financial analysis
- [Smart GTM Agent](advance_ai_agents/smart_gtm_agent) - Go-to-market strategy and competitive analysis agent
- [Conference Agnostic CFP Generator](advance_ai_agents/conference_agnositc_cfp_generator) - Automated conference proposal generation system
- [Car Finder Agent](advance_ai_agents/car_finder_agent) - AI-powered used car recommendation system with CrewAI and MongoDB
- [Content Team Agent](advance_ai_agents/content_team_agent) - SEO content optimization workflow with Agno & SerpAPI for Google AI Search ranking
- [Temporal Agents](advance_ai_agents/temporal_agents/) - Examples of Temporal based AI Agents
## ๐บ Tutorials & Videos
### ๐ Course Playlists
- [**AWS Strands Course**](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lrc43ZtUXAwYu9DhnqxzRKZ) - Complete 8-lesson course on building AI agents with AWS Strands SDK
### ๐ง Framework Tutorials
- [**Build with MCP**](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lolxax4L2HS54Me8gn1gkz4) - Model Context Protocol tutorials and examples
- [**Build AI Agents**](https://www.youtube.com/playlist?list=PLMZM1DAlf0LqixhAG9BDk4O_FjqnaogK8) - General AI agent development tutorials
- [**AI Agents, MCP and more...**](https://www.youtube.com/playlist?list=PL2ambAOfYA6-LDz0KpVKu9vJKAqhv0KKI) - Mixed tutorials and project demos
---
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---
## Getting Started
### Prerequisites
- **Python 3.10+** (Python 3.11+ recommended for newer projects)
- **Git** for cloning the repository
- **Package Manager**: `pip` or `uv` (recommended for faster installs)
- **API Keys**: Most projects require API keys (see individual project READMEs)
### Quick Start
1. **Clone the repository**
```bash
git clone https://github.com/Arindam200/awesome-ai-apps.git
cd awesome-ai-apps
```
2. **Choose a project** and navigate to its directory
```bash
cd starter_ai_agents/agno_starter # Example: Start with Agno starter
```
3. **Set up environment variables**
```bash
cp .env.example .env # Copy example environment file
# Edit .env with your API keys
```
4. **Install dependencies**
```bash
# Using pip
pip install -r requirements.txt
# OR using uv (recommended - faster)
uv sync
# or
uv pip install -e .
```
5. **Run the project**
```bash
python main.py
# or for Streamlit apps
streamlit run app.py
```
## ๐ค Contributing
We welcome contributions from the community! Here's how you can help:
- ๐ **Report bugs** or suggest improvements via [GitHub Issues](https://github.com/Arindam200/awesome-ai-apps/issues)
- ๐ก **Add new projects** - Submit your own AI agent examples
- ๐ **Improve documentation** - Help make projects more accessible
- ๐ง **Fix issues** - Contribute code improvements and bug fixes
**Before contributing:**
- Read our [Contributing Guidelines](CONTRIBUTING.md) for detailed information
- Check existing issues to avoid duplicates
- Follow the project structure and naming conventions
- Ensure your project includes a comprehensive README.md
**Important:** This project follows a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating, you agree to abide by its terms.
## ๐ License
This repository is licensed under the [MIT License](./LICENSE). Feel free to use and modify the examples for your projects.
## ๐ฅ Core Maintainers
This project is actively maintained by:
Arindam Majumder
ยท
Shivay Lamba
ยท
Astrodevil
For any questions, suggestions, or contributions, feel free to reach out to the maintainers.
## Thank You for the Support! ๐
[](https://www.star-history.com/#Arindam200/awesome-ai-apps&Date)